CFD 373 – Emotions drive everything we do; Go beyond verbal with Yuval Mor

CFD 373 – EMOTIONS DRIVE EVERYTHING WE DO; GO BEYOND VERBAL WITH YUVAL MOR

Emotions Analytics change the way we interact with our machines and ourselves – forever. By decoding human vocal intonations into their underlying emotions in real-time, Emotions Analytics enables voice-powered devices, apps and solutions to interact with us on an emotional level, just as humans do.

Beyond Verbal focuses on raw vocal modulations – probably the most expressive output our body produces. This makes our offering unique by being non-intrusive, continuous in nature and easy to implement. Enabling wearables and digital health applications and empowering international brands to better understand consumer brand interaction, Beyond Verbal is pioneering a brand new breed of emotionally powered devices set to change the way we do business, make decisions and manage our lives, forever.

http://cashflowdiary.com/cfd-373-emotions-drive-everything-we-do-go-beyond-verbal-with-yuval-mor/

致力于情绪分析技术,这家公司要让 Siri 和 Alexa 理解你的喜怒哀乐

  Beyond Verbal 在 2012 年成立于 Tel Aviv,团队拥有数十年的情感分析研究经验,并与芝加哥大学,Mayo Clinic,Scripps 和 Hadassah 医学中心等知名组织进行了合作。

  2014 年,该公司推出了 Beyond Wellness API,能够让用户的智能手机或是带有麦克风的其他可穿戴设备发挥情绪传感器作用,公司研发的分析技术并不是进行语音实际文本内容或上下文语境的分析,而是通过系统创建的算法识别音域及语调变化,分析出像愤怒、焦虑、愉快或满足等情绪,这样就可以通过用户语音样本来了解人体情绪及人体身心健康状况。

  通过一段时间的被动跟踪、量化和报告情绪状态,Beyond Verbal 能够提示用户一段时间内的全面情绪健康状态,进而帮助用户改进情绪健康。目前,Beyond Verbal收集了包括 40 种语言内的 250 多万条“情绪标签声音”数据。

  不过该技术尚处于起步阶段,潜在用例包括呼叫中心通过分析通话情绪来改善与用户的关系,或在健康领域,承担评估某人的心理健康的角色。同时,确定它是否可以有效地用于检测身体状况(如心脏问题)的研究也正在进行中。

  如何让 Siri 进行情感分析?

  这种情绪检测的技术可以被应用到各种场合中:游戏的客户服务、约会服务(帮助人们知道对方是否真的对自己感兴趣)。同时,Beyond Verbal 目前正致力于通过开发人员的新 API 向虚拟个人助理(VPA)领域介引进其情感分析技术。 虽然苹果 Siri 和亚马逊 Alexa 在理解话语上正在不断改进,它可以对“Alexa,播一首披头士的歌”做出反应,但它们却不擅长识别人们的情绪。而这就是 Beyond Verbal 新 API 的最终目标:为数字助理带来“情绪智能”。

  “今天的数字世界正在迅速改变我们与技术等其他方面交流的方式。”Beyond Verbal 首席执行官 Yuval Mor 说道,“虚拟私人助理已经开始采用个性化体验。我们非常希望能够将 AI 和 Beyond Verbal 情绪分析的突破性技术融合在一起,为个性化技术和远程监控提供独特的视角。”

  那这如何实现呢?为什么亚马逊 Echo 设备需要了解人们的心情? 鉴于 Alexa 和 Co. 现在可以为第三方支持的语音服务提供支持,Beyond Verbal 提到了一些可能的用例:如果你的声音比较消沉,Alexa 可能会播放积极的音乐,或者可以告诉你,你的朋友听起来不太高兴,或者给你推荐令人愉快的电影。

  需要注意的是,Beyond Verbal 大部分的想法都是放眼未来,还有更多潜在的重要用途尚未被发现,比如医疗健康。在未来,Siri 可以在几周内观察到你的情绪不佳。或者如果目前的研究能重视其承诺,它甚至可以帮助人们检测严重的身体疾病。“在不久的将来,我们的目标是为我们的功能集添加声乐生物标志物分析,使虚拟私人助理能够通过你的声音来分析特定的健康状况。”Mor 补充说。

  实现过程是复杂的

  该技术在基本层面上亟待改进。事实上,在 Beyond Verbal 激活虚拟个人助理(VPA)与用户之间的对话时,首先需要 13 秒语音来进行第一次分析,之后则需要每 4 秒进行一次情感分析 ,此过程适用于每一次谈话。但很难想象人们会与 Amazon Echo 或 Apple HomePod 聊足够长的时间来启用情绪检测。这就对为什么每天被动地收集一个人的声音对于该项技术的成功而言至关重要。

  “目前,命令风格的对话会因为声音太少而难以进行情感分析。”VentureBeat 公司的一位发言人表示,他们正在开发一个额外的功能集,这将减少反应时间,不过还是不可用于商业用途。改善情绪检测的另一种方法是通过更广泛的物联网方式,使用多种设备来(包括可穿戴式,手机,智能车等)分析语音,但这仍然需要一段时间。

  据悉,Beyond Verbal 正在寻求新一轮融资,目前已经从基金中投入了大约 1080 万美元(其中包括 2016 年 9 月的 300 万美元融资)。如果该公司要实现将真正的情绪智能带给 AI 的愿景,那么将需要一笔巨大的投入。

第九届中国鞋服行业供应链与物流技术研讨会

http://www.56products.com/News/2017-6-26/IFFB6ACFC3AH622314.html

Beyond Verbal Adds Emotions to Virtual Assistants

Beyond Verbal has launched an API for virtual private assistants to help identify user emotions in real time.

Beyond Verbal, a provider of voice-driven emotions analytics, is launching a cloud-based API engine that will enable virtual private assistants (VPAs) to reveal customized recommendations based on individual moods and emotional states.

Beyond Verbal enables these assistants to understand the emotional message, context, and intent carried by users’ vocal intonations, which represent 35 percent to 40 percent of the emotions people convey in their communication. By integrating with Beyond Verbal’s API technology, virtual private assistants will now be able to understand and react to their users’ emotions all by the tone in their voices. With Beyond Verbal, AI assistants can also change their behavior, personality, and even their tone of voice  to fit themselves to the context of the conversation and person with whom they are communicating.

Beyond Verbal’s Emotional Analytics technology takes raw voice input and analyzes it for mood and attitude. The technology only requires 10 seconds of continuous voice input to render an emotional analysis. The operating system then measures the speaker’s tone of voice and the results are distributed into groups and analyzed in real-time.

“Today’s digital world is rapidly transforming the way we interact with our technology and each other. Virtual private assistants have begun to take on a personalized experience,” said Yuval Mor, CEO of Beyond Verbal, in a statement. “We are very excited for this next step in fusing together the breakthrough technology of AI and Beyond Verbal’s Emotions Analytics, providing unique insight into personalized tech and remote monitoring. In the not so far future our aim is to add vocal biomarker analysis to our feature set, enabling virtual private assistants to analyze your voice for specific health conditions.”


http://www.speechtechmag.com/Articles/ReadArticle.aspx?ArticleID=118992

Beyond Verbal launches API to enable voice-based emotion detection by virtual private assistants

Your Voice Reveals You - Vocal Biomarkers

As virtual private assistants like Amazon’s Alexa become smarter, more popular and more useful, why not give it them tools to recognize emotions? That seems to be the thinking behind Israel-based Beyond Verbal, which makes voice recognition software to analyze human emotion and health indicators, releasing a cloud-based API engine to integrate with virtual private assistants (VPAs).

The intention for Beyond Verbal’s latest project is to make one’s connected home more sensitive, so to speak, rather than a sounding board that simply takes request after request. Operating on the knowledge that vocal intonations represent 35 to 40 percent of emotions conveyed in human communication, Beyond Verbal set out to eliminate the emotional blind spots of VPAs. The company’s Emotional Analytics technology takes 10 seconds of raw voice input and analyzes it for mood and attitude, then factors in that information with the user’s request. For example, if someone asks their VPA to play music, the Beyond Verbal-enabled bot will take note of the person’s emotional state  – say, stressed out – and respond with a list of calming music choices.

“Today’s digital world is rapidly transforming the way we interact with our technology and each other. Virtual private assistants have begun to take on a personalized experience,” Beyond Verbal CEO Yuval Mor said in a statement. “We are very excited for this next step in fusing together the breakthrough technology of AI and Beyond Verbal’s Emotions Analytics, providing unique insight into personalized tech and remote monitoring.”

Beyond Verbal, which was founded in 2012, has made a name for itself with its straightforward consumer technology built on years of hard science research. The company is actually the product of several research projects spanning 21 years, and the company has collected more than 2.5 million emotion-tagged voices in more than 40 languages to analyze human emotions. It launched its Beyond Wellness API in 2014, which turns any smartphone or mic-equipped wearable device into an emotional wellbeing sensor using technology that doesn’t consider the actual content or context of spoken word, but instead studies intonation in the voice. The company has two free, consumer-facing apps, Moodie and Empath, and one for clinicians called Beyond Clinic.

Just getting VPAs accustomed to their owner’s emotions is the first step, Mor said. Eventually, they want to layer in insights from their ongoing research on vocal biomarkers of health conditions, which has recently ramped up. The company has been working with the Mayo Clinic, Scripps, Haddassah Medical Center in Jerusalem and Tel Aviv University and others to expand research into health-indicating vocal intonations. In September, Beyond Verbal launched a research platform to identify physiological markers through the voice that may indicate various health-related issues called the mHealth Research Platform, the company will enable collaboration with other institutions, medical centers and commercial organizations.

Beyond Verbal is one of several health tech companies making moves to leverage VPAs as of late. In February, Lenovo Health and Orbita launched a voice-enabled home health assistant. As of last March, people who use Amazon’s VPA can launch the WebMD skill on any Alexa-enabled device (such as the Echo, Echo Dot and Amazon Fire TV) and ask a question about a range of health-related topics including conditions, medication, tests and treatments. Alexa will respond with WebMD-sourced answers in easy-to-understand language. 

In April, Merck and Amazon partnered up to launch a developer competition to incent startups and developers to create apps that harness Amazon’s Alexa technologies for people with type 2 diabetes. Boston Children’s Hospital officially launched its partnership with Amazon Echo that same month, giving the voice-powered home appliance a new “skill” that will allow it to give simple health advice to parents about their children’s’ fever and medication dosing. Called KidsMD, the Alexa app is just the first step in a plan to bring Boston Children’s medical knowledge to the consumer space, according to Chief Innovation Officer John Brownstein.

But all those are built on spoken requests, and Beyond Verbal wants to go deeper by actually recognizing health conditions rather than waiting for their owner to ask about it by name.

“In the not so far future, our aim is to add vocal biomarker analysis to our feature set, enabling Virtual Private Assistants to analyze your voice for specific health conditions,” Mor said in a statement.

http://www.mobihealthnews.com/content/beyond-verbal-launches-api-enable-voice-based-emotion-detection-virtual-private-assistants

Beyond Verbal Makes Sure Your Virtual Private Assistant Knows How You Feel

TEL AVIV, Israel–()–Beyond Verbal, (www.BeyondVerbal.com) the leader in voice-driven Emotions Analytics, is now launching a brand new cloud-based API engine dedicated to raising the Emotional Intelligence (EQ) and emotional understanding of Artificial Intelligence (AI) assistants. With this new launch, different virtual private assistants (VPAs) will be able to reveal customized recommendations based on individual moods, all from the privacy of your own home.

“Today’s digital world is rapidly transforming the way we interact with our technology and each other. Virtual private assistants, have begun to take on a personalized experience”

Virtual private assistant interfaces are the next stages in AI. However, until now, these platforms were ‘request based only’ and they did not take into account your emotional state. With this in mind, Beyond Verbal set out to eliminate virtual private assistant’s blind spots and enable Humanoids and Bots to understand the emotional message, context, and intent carried by our vocal intonations. Vocal Intonations represent 35-40% of the emotions we convey in our communication, making it a fundamental role in making Artificial Intelligent Assistants more Emotional

Beyond Verbal’s Emotional Analytics technology takes raw voice input and analyzes it for mood and attitude. The technology only requires 10 seconds of continuous voice input in order to render an emotional analysis. The operating system then measures the speaker’s tone of voice and the results are distributed into groups and analyzed in real-time.

“Today’s digital world is rapidly transforming the way we interact with our technology and each other. Virtual private assistants, have begun to take on a personalized experience,” says Yuval Mor, CEO of Beyond Verbal. “We are very excited for this next step in fusing together the breakthrough technology of AI and Beyond Verbal’s Emotions Analytics, providing unique insight into personalized tech and remote monitoring. In the not so far future our aim is to add vocal biomarker analysis to our feature set enabling Virtual Private Assistants to analyze your voice for specific health conditions”

About Beyond Verbal:

Since its launch in 2012, Beyond Verbal has been using voice-driven emotions AI to dramatically change the way we can detect emotions and reveal health conditions. The only input needed is the human voice, making this technology non-intrusive, passive and cost effective. Beyond Verbal’s technology has been developed based on ongoing research into the science of emotions that started in 1995. By combining the company’s patented technology with its proprietary machine learning-based algorithms and AI, Beyond Verbal is focusing on enabling devices to understand our emotions and health.

[ Original ]

How Beyond Verbal hopes to make Siri and Alexa emotionally intelligent

An Israeli startup specializing in analyzing human emotion and traits based on voice is opening up its technology to help artificial intelligence (AI) assistants — such as Siri and Alexa — understand people’s moods by listening to how they sound when they speak.

Founded out of Tel Aviv in 2012, Beyond Verbal has been building on decades of emotion analytics research with its own studies, which have been carried out in conjunction with notable organizations including the Mayo Clinic, the University of Chicago, Scripps, and Hadassah Medical Center. Its data gathering has led to the collation of more than 2.5 million “emotion-tagged voices” across 40 languages. The company’s technology doesn’t consider the content or context of the spoken word, but instead looks for signs of anxiety, arousal, anger, and other emotions through examining the intonation in a person’s voice.

Though the technology is still in its infancy, potential use cases include a call center improving relationships with its customers by analyzing their mood during calls or, in the health realm, a provider evaluating someone’s mental wellbeing. And research is also ongoing to establish whether it can effectively be used to detect physical conditions like heart problems.

Siri gets smart?

Today marks a notable evolution for Beyond Verbal as it looks to introduce its emotion analytics to the virtual personal assistant (VPA) realm via a new API for developers.

While Apple’s Siri and Amazon’s Alexa are improving all the time at understanding your words — “Hey Alexa, play me a song by The Beatles” — they’re not so adept at recognizing your mood. And that is the ultimate goal of Beyond Verbal’s new API: It wants to bring emotional intelligence to digital assistants.

“Today’s digital world is rapidly transforming the way we interact with our technology and each other,” said Yuval Mor, CEO at Beyond Verbal. “Virtual private assistants have begun to take on a personalized experience. We are very excited for this next step in fusing together the breakthrough technology of AI and Beyond Verbal’s Emotions Analytics, providing unique insight into personalized tech and remote monitoring.”

So… how could this be used in reality? And why would an Amazon Echo device ever need to know what mood you’re in?

Given that Alexa and Co. can now power countless third-party voice-enabled services, Beyond Verbal suggests a number of possible use cases: Alexa could play you an upbeat song if the tone of your voice is downbeat, or it could tell you that a friend of yours sounds upset and suggest an uplifting movie for you to buy them.

Bear in mind, much of this is future-gazing, and there are many more potentially important use cases that have yet to be uncovered — and one of those is health care. In the future, Siri could observe a downturn in your mood over a number of weeks. Or if current research fulfils its promise, it could even help detect serious physical ailments.

“In the not so far future, our aim is to add vocal biomarker analysis to our feature set enabling Virtual Private Assistants to analyze your voice for specific health conditions,” added Mor.

Bumps in the road

The technology needs some improvements at a fundamental level. As things stand, during a conversation between a Beyond Verbal-enabled VPA and a user, 13 seconds of speech is required initially to render the first analysis, after which an emotional analysis can be carried out every 4 seconds — this process is for each and every conversation. It’s difficult to imagine a time when people will chat long enough with their Amazon Echo or Apple HomePod to enable mood detection. This is why passively collecting a person’s voice throughout a day will be vital for the technology to have any chance of succeeding.

“Currently a command style conversation would render too little voice to give an emotional analysis,” a company spokesperson acknowledged to VentureBeat. “We are currently working on an additional feature set which would reduce the time even more — this however is still not available for commercial use.”

Another way of improving mood detection would be through the broader Internet of Things, whereby voice is analyzed through multiple devices including wearables, mobiles, smart cars, and so on — but such ubiquity is likely some time off.

However, Beyond Verbal is raising VC cash, having nabbed around $10.8 million in venture funding, including a $3 million round in September 2016. If the company is to realize its vision of bringing real emotional intelligence to AI, at scale, it will need all the money it can get.

https://venturebeat.com/2017/06/21/how-beyond-verbal-hopes-to-bring-emotional-intelligence-to-siri-and-alexa

Vocal Biomarkers: New Opportunities in Prevention

Your voice betrays you, princess!

The line has a long tradition in literature and cinematography. Its earliest presence might be in the Tales of One Thousand and One Nights by storyteller Scheherezade. In one of her stories her voice reveals a princess dressed in male cloths to a dervish; and he uses this exact line to tell her, he knows he is in fact female.

It has been commonplace since ancient times to spot liars based on their voices. Secret services such as the FBI currently also uses speech patterns in determining the truth value of statements. In an interview with CNBC, former FBI negotiator, Chris Voss said, “only 7 per cent of a message is based on the words, while 38 per cent comes from the tone of voice and 55 per cent from the speaker’s body language and face”. In the television series Lie to Me! the main character played by Tim Roth solved countless crimes based on body language as well as through recognizing lies from the intonation and cadence of the bad guys.

Your Voice Reveals You - Vocal Biomarkers

How to define vocal biomarkers?

According to the latest scientific studies, it is definitely not negative, if your voice betrays you. On the contrary! The characteristics of your voice – or as medicine labels them, vocal biomarkers – reveals a lot about your health; and help in detecting serious diseases and health risks.

The term “biomarker”, the shortened version of “biological marker” refers to medical signs, which indicate the medical state observed from outside the patient. So while patients sense symptoms, medical professionals measure biomarkers. Currently, they take into account all kinds of objective, quantifiable biomarkers ranging from biochemical, radiology markers to various health parameters. And as you could have guessed already, vocal biomarkers are medical signs deducted from the features of your voice.

Sound of Your Voice Helps Detect Diseases - Vocal Biomarkers

Amazing potential in reforming diagnostics

Vocal biomarkers have an amazing potential in reforming diagnostics through their accuracy, speed and cost-effectiveness.

They are able to detect some diseases earlier than an average check-up process; and an earlier diagnosis could essentially be the difference between life and death in relation to certain illnesses. It is an amazing area of medicine, and the field is buzzing. More and more start-ups are eager to join in: Beyond Verbal, Sonde Health or the Berlin-based Audio Profiling. The tech giant, IBM is teaming its Watson AI supercomputer with academic researchers to try to predict from speech patterns whether patients are likely to develop a psychotic disorder. Even the US Army got interested! In May, 2016 it launched a partnership with MIT researchers with the goal of developing an FDA-approved device to detect brain injury. But that’s not all!

Let me show you the potential areas where diagnosticians could use vocal biomarkers successfully!

Voice Analysis - Vocal Biomarkers

What if coronary artery disease could be identified over a phone call?

An Israeli company, Beyond Verbal deals with emotion analytics and provides voice analysis software. It has announced that its algorithms were successful in helping to detect the presence of coronary artery disease (CAD) in a group of patients.

The research was presented at the American Heart Association Scientific Sessions in New Orleans, Louisiana in December 2016; carried out in cooperation with Mayo Clinic. It involved a double-blind study with 120 patients undergoing both an angiography and a voice analysis; and a group of controls. Beyond Verbal used a smartphone app to measure their voice signal prior to a coronary angiograph. One voice characteristic in particular indicated an almost 20-fold increase in the likelihood of CAD. Yuval Mor, CEO of Beyond Verbal said that these vocal features are not audible by the human ear alone.

Now, imagine all the implications of the research! Imagine how easy it would be if medical professionals could identify patients with CAD over a phone call! There would be no need to go to the doctors’ office, wait for hours for costly examinations and days for the results.

CAD identification over phone call - Vocal Biomarkers

Say some words, I tell you whether you are depressed!

Sonde Health Inc., a Boston-based company develops a voice-based technology platform for monitoring and diagnosing mental and physical medical conditions, with the help of a technology licensed from the MIT Lincoln Laboratory. Researchers designed the technology to enable analysis of brief voice samples to screen and monitor for a range of mental and physical medical concerns based on subtle changes in acoustic characteristics of the speaker’s voice.

“The ability to help recognize early signs of psychiatric illness and monitor treatment responses on devices that people already own is an important step in moving from reactive to preventive care,” said Aimee Danielson, Ph.D., Director, Women’s Mental Health Program at MedStar Georgetown University Hospital. “This would be particularly useful in conditions that are chronically underdiagnosed, like perinatal mood and anxiety disorders, including postpartum depression.”

Another Boston-based company, Cogito, is developing a voice analysis app. The US Department of Veterans Affairs started to use it already to monitor the mood of service members. Its testing also started on patients with bipolar disorder and depression. It is amazing how they are able to detect depression in individuals based on a brief sample of spoken words! I hope the technology will be widely available soon.

Vocal Biomarkers

What if voice could reveal Parkinson’s disease?

It is time-consuming, difficult and expensive to carry out standard medical tests for Parkinson’s disease. Scientists found though that the chronic illness affects limb movements as much as voice – and some of them started to develop a technology for easier diagnosing the illness. Through voice.

For proving the efficiency of the new diagnostic tool, a couple of researchers started the Parkinson’s Voice Initiative. It aims to record 10,000 voices across the world – to collect enough recordings to introduce the jaw-dropping technology on a wider scale.

This could enable some radical breakthroughs, because voice-based tests are as accurate as clinical tests, but additionally, medical professionals could administer them remotely, and patients can do the tests themselves. Also, they are high speed (take less than 30 seconds), and are ultra low cost. So, they are massively scalable. Amazing, isn’t it? Would you like to facilitate the great cause? You’ve got the chance to participate in their smartphone data-gathering or PVA Voice test, so do it!

Diagnosing Parkinson's Disease - Vocal Biomarkers

Start-ups and researchers interested in vocal biomarkers, let’s unite!

In 2016, Beyond Verbal announced the launch of Beyond mHealth Research Platform. It aims to collaborate with research institutes, hospitals, businesses, and universities to collectively search for unique markers in voice samples.

This is a fantastic idea since more data could lead to more accurate results and better solutions for patients. One of them might be the use of AI algorithms for analyzing billions of voice samples and suggesting a potential diagnosis. Beyond Verbal, which has gathered more than 2.5 million voice samples in 40 languages, wants to build such an algorithm with a virtual assistance. Thus, it encourages other institutions, researchers and others interested in collecting voice data through smart cars, the Internet of Things devices in smart homes or personal assistants like Siri and Alexa. It is a wonderful idea and I hope they will succeed!

Beyond Verbal - Vocal Biomarkers

It’s obvious that we need more research in the field of vocal biomarkers. We also need not to forget the ethical issues concerning the voice recordings. Although algorithms analyzing samples may not be interested in the content of the speech; nevertheless listening to someone talking to someone else over the phone and analyzing the vocal biomarkers in it, could constitute a serious breach of privacy. What should we do about that?

Well, regulators need to keep up with the development of the field of vocal biomarkers, and consider privacy issues before the sea of vocal analytics apps reach the market.

http://medicalfuturist.com/vocal-biomarkers-new-opportunities-prevention/

Report explores the affective computing market from USD 12.20 billion in 2016 to USD 53.98 billion by 2021

Frequent advancement in the field of gesture recognition, facial feature extraction, and speech analytics is expected to bring about lucrative business prospects in the affective computing domain

Global affective computing market to increase from USD 12.20 billion in 2016 to USD 53.98 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 34.7%. The market is escalating rapidly, owing to rising digitization and continuous advancements in the field of cognitive science and computer science that are shaping the way for a new technology.

Touch-based technology recorded for the largest market share during the initial phase of the growth period.

However, due to rising technological advancements, the touchless technology is expected to dominate the market.

sample copy @ https://goo.gl/r6I41C

Key Target Audience :

  • Machine learning/Artificial Intelligence (AI) solution and service providers
  • Cognitive and AI technology experts/providers
  • Business intelligence tools and system experts/providers
  • System integrators
  • End-users/consumers/enterprise users
  • Telecommunication providers
  • Mobile network operators
  • Internet of Things (IoT) device/wearable device manufacturers
  • Managed service providers
  • Technology consultants
  • Training and education service providers

Access This Report @ goo.gl/WGuEdq

Key Points From Table Of Content :

Key Innovators :

  • Google Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Apple, Inc.
  • Qualcomm Inc.
  • Saffron Technology Inc. (An Intel Company)
  • Softkinetic System S.A. (A Sony Group Company)
  • Affectiva
  • Elliptic Labs
  • Eyesight Technologies, Ltd.
  • Pyreos Limited
  • Cognitec Systems GmbH
  • Beyond Verbal Communication Ltd.
  • Numenta
  • Gesturetek
  • Sightcorp

Inquire Before Buying @ https://goo.gl/0DR9BK

Research Coverage:

The affective computing market is segmented by technology, which includes touch-based and touchless technologies. Affective computing software is further segmented into speech recognition, gesture recognition, facial feature extraction, analytics software, and enterprise software.

The affective computing market is segmented by technology, which includes touch-based and touchless technologies. Affective computing software is further segmented into speech recognition, gesture recognition, facial feature extraction, analytics software, and enterprise software.

Affective computing hardware is categorized into sensors, cameras, storage device, processors, and others (including touch point/screen/display, radio/antenna, and microphone/speaker).Segmentation on the basis of verticals include academia &research, media & entertainment, government &defense, healthcare &life sciences, Information Technology (IT)&telecom, retail &e-commerce, automotive, and Banking, Financial Services, & Insurance (BFSI). The regional analysis includes the study of North America, Europe, Asia-Pacific (APAC), and the Rest of World (RoW).

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Research details developments in the Global vacation rental market report for 2017

A vacation rental is an alternative lodging option, which involves the short-term rental of myriad properties, such as apartments, farm stays, private homes, cabins, beach houses, villas, cottages, or chalets to travelers and tourists.

About Vacation Rental 

A vacation rental is an alternative lodging option, which involves the short-term rental of myriad properties, such as apartments, farm stays, private homes, cabins, beach houses, villas, cottages, or chalets to travelers and tourists. These dwelling units are offered on a nightly, weekly, or a monthly basis although the dominant practice in the market is renting it out weekly.

They are also commonly referred to as holiday lettings, tourist rentals, bed and breakfast, homestays, and gites, among others. An essential attribute attached to a vacation rental is that it provides an authentic travel experience as they are commonly located within the community and provide the opportunity to take in the local flair and culture.

– Advertising –

The patterns and trends in the market have changed over time, and vacation rentals are increasingly becoming a part of the global temporary accommodation market.

 

Request For Copy Of Sample Report @ goo.gl/gUAya5

The analysts forecast the global vacation rental market to grow at a CAGR of 7.07% during the period 2017-2021.

Covered in this report

The report covers the present scenario and the growth prospects of the global vacation rental market for 2017-2021. To calculate the market size, the report considers the revenue generated from vacation rentals.

The market is divided into the following segments based on geography:

APAC

Europe

MEA

Latin America

North America

 The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors

Airbnb

HomeAway

TripAdvisor

Wimdu

Wyndham Worldwide

World Travel Holdings

 

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Other prominent vendors

At Home Abroad

OnlineVacationRentals.com

priceline.com

Rentalo

Roomorama

Villas International

Market driver

Increased investment in vacation rental homes

For a full, detailed list, view our report

Market challenge

Low conversion rate of lead to transaction

For a full, detailed list, view our report

Market trend

Proliferation of vacation rental business services

For a full, detailed list, view our report

Key questions answered in this report

What will the market size be in 2021 and what will the growth rate be?

What are the key market trends?

What is driving this market?

What are the challenges to market growth?

Who are the key vendors in this market space?

What are the market opportunities and threats faced by the key vendors?

What are the strengths and weaknesses of the key vendors?

 

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Table Of Contents

PART 01: Executive summary

PART 02: Scope of the report

PART 03: Research methodology

PART 04: Introduction

PART 05: Market landscape

PART 06: Market segmentation by end-user

PART 07: Geographical segmentation

PART 08: Market drivers

PART 09: Impact of drivers

PART 10: Market challenges

PART 11: Impact of drivers and challenges

PART 12: Market trends

PART 13: Vendor landscape

PART 14: Key vendor analysis

 

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With the window of opportunity getting open and shut at a speed of light, it has become very important to survive in the market and only the fittest and competent enough can do so. So, we try and provide with latest changes in the market

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The top technologies with the biggest promise for 2017

1) A new era in diabetes care

In 2016, the US Food and Drug Administration approved the world’s first artificial pancreas. The device monitors blood sugar and supplies insulin automatically. It basically replicates what a healthy version of the organ does on its own; and it enables diabetes patients to live an easier life in a sustainable way. It is the biggest step towards a new are in diabetes management in years

The breakthrough happened years after the #wearenotwaiting movement started to campaign for the introduction of such artificial pancreas on the market. One of the leading figures of the movement, Dana Lewis also told me how an artificial pancreas eases everyday life. In 2017, this new way of diabetes management will spread around; and it will become a life-changing milestone in many patients’ lives when they first start to use the device.

The development of diabetes care does not end there. Google patented a digital contact lens that can measure blood glucose levels from tears as an added benefit. Google launched a partnership with the pharmaceutical company Novartis; and while there is rather silence around the state of the developments, there are rumors about it becoming available for trials in 2017.

Artificial Pancreas - Medical Technologies of 2017

2) Precision medicine in oncology

Digital technology will start the transformation of available cancer care methods on the market. Personalized oncology is becoming available through start-ups and companies such as Foundation Medicine andSmartPatients.

Foundation Medicine aims to bring cancer genomics to cancer care. It provides information about patient-specific cancer treatments based on DNA-tests. SmartPatients tries to change cancer care with patient empowerment through an online community.

There are significant advances in immunotherapy which might launch a new era of treating cancer. Liquid biopsy was the big thing in 2016 and now it’s becoming more accessible for patients worldwide. The technology has limitations, but it’s getting better. For example, the blood sample should be obtained before a chemotherapy and it’s hard to detect cancer cells. Precision medicine is changing the old model of treating cancer: instead of canons, we start using sniper rifles.

IBM Watson in Oncology - Medical Technologies of 2017

3) Narrow artificial intelligence in US clinics

IBM Watson, the company’s advanced artificial intelligence program is transforming healthcare into a quantifiable service where every bit of information is available. By using it, physicians only have to go through their personalized reports instead of reading through dozens of papers for every patient’s case. It has been used in oncology and radiology (Medical Sieve project) so far. Although recent news about IBM making Watson available widely at US clinics could boost the whole idea of physicians needing help from algorithms. The so-called Watson for Genomics helps advance precision medicine by combining cognitive computing with genomic tumour sequencing.

We need to prepare for IBM Watson’s broader use in 2017. Although it does not answer medical questions, but based on patients’ data it comes up with the most relevant and likely medical outcomes. However, physicians will make the final call. Computer assistance can only facilitate the work of physicians, it will definitely not replace it.

Medical Technologies of 2017

4) Driverless trucks or cars will include health sensors

In 2017, we have to prepare for the spread of cars with more and more automated functions. In September, Uber started offering rides in self-driving cars in Pittsburgh, a notoriously demanding urban environment. The company teamed up with Volvo to fulfil Uber’s objective to replace its more than 1 million human drivers with robots – as quickly as possible. There are already significant results: Volvo trucks have gone through Europe already without drivers – how amazing is that!

Parallel with striving for the introduction of driverless cars as soon as possible, companies are equipping cars with tons of sensors. As we will spend more passive time in 2017 in these vehicles, Uber, Volvo or Tesla will start implementing health sensors into the driver’s seat. I believe that the car itself is going to operate as a point-of-care in the future.

Driverless Cars - Medical Technologies of 2017

5) New service in nutrigenomics

In 2014, the FDA clamped down the marketing activities of the biggest provider of genetic tests, 23andMe due to its precautionary concerns. Despite the precedent set by 23andMe, several companies continue to offer and market genetic testing and interpretive analysis without submitting to premarket review by the FDA. Since November 2015, the FDA has sent five “it has come to our attention” letters to such companies. While the FDA cannot stop companies offering genetic-based services to patients forever, the next “big deal”, namely nutrigenomics, is already knocking on the door. It is going to become a hit in 2017.

Nutrigenomics is a brand-new cross-field combining genetics and nutrition science. The basic idea behind nutrigenomics is that our genome reveals valuable information about our organism’s needs. We should map out this data and utilize in order to lead a long and healthy life. After having your DNA sequenced (perhaps already at home), a smart app could let you know which food you should eat and what you should avoid at all cost. There is already a California-based start-up dealing with nutrigenomics. The inventive company, Habitplans to use genetic markers to identify the ideal meal for each of its customers, and send that meal directly to their doors.

Nutrigenomics in Sports - Future of Professional Sports

6) SpaceX and NASA will realize they need a digital health masterplan to reach Mars

In September, Elon Musk, CEO of the SpaceX rocket company aroused hope in astronautics again for the greatest pleasure of the fans of space flights. He promised no less than to take humanity to Mars. I followed Musk’s brilliant and inspiring speech online and I got really excited about his vision. His words rang in my head for the next couple of days, and I started to think about the realities of the mission to Mars.

I think the biggest obstacle in reaching the Red Planet and installing the conditions of life there is the current state of healthcare. 2017 will be the year when NASA and SpaceX will realize that they not only need amasterplan for revolutionizing the transportation industry and space travel, but also one in digital health.

Elon Musk Colonies on Mars - Digital Health

7) The genome editing method CRISPR in clinical trials

Every decade or so, there are only a few new ideas that show the potentials of revolutionizing the whole industry of healthcare and pharma. The amazing genome editing method, CRISPR has this potential.

Researchers have already used gene-editing to create mosquitoes that are almost entirely resistant to the parasite that causes malaria. Some scientists also believe that we will have the chance to edit our cells in our immune systems with CRISPR to improve them against cancer cells and to help them kill these malevolent entities in time. This year, experiments also showed how scientists were able to treat mice with Duchenne’s muscular dystrophy through gene editing. I believe that in 2017, we have a great chance for launching the first clinical trials to test the real power of CRISPR in changing devastating diseases.

genetics

8) A big tech company will step into health

Yes, I know, you are right, Google, Apple, Microsoft, IBM, they all showed interest in medicine and healthcare. However, they should step up their efforts. Google has made steps forward in healthcare withCalico. They look for possible “cures” for ageing and for basically everything which might lead to death. It works together with pharma giant Abbvie to accelerate the discovery, development and commercialization of new therapies.

Human Longevity Inc. joined forces with Cleveland Clinic for a human genomics collaboration aimed at disease discovery and making ageing a chronic condition. IBM has been developing its artificial intelligence program, Watson and puts it to use in cardiology and cancer care. There is a harsh race among companies in terms of digital technological development; and its effects are already tangible in medicine and healthcare as well.

The race will not tone down in 2017, rather on the contrary. A tech giant will announce next year that it will devote significant resources to changing healthcare, a quite undiscovered industry for them.

Tech in Healthcare - Medical Technologies of 2017

9) An insurance company launches a wearable sensor package

2017 will be the year when the behemoth system of health insurance will start to change with data provided by patients. The hipster insurance company, Oscar Health made the first steps already. It has built upon the idea that without quantifying health, insurance is the riskiest business of all. With the help of Oscar Health, insured people can submit their Fitbit data; and if they reach their fitness goals, they get $1 every day. It helps keep people healthy and motivated with a simple but quantifiable reward.

I believe that in the future, smoking, drinking heavily, eating trashy food and not doing any sports might not only cost people a lot in terms of their expenses and their health on the long run, but it might also heavily burden their health insurance with extra fees.

Due to predictions, 245 million wearable devices will be sold in 2019. As more and more accurate data sets about our lifestyle through trackers and wearables become available, it is inevitable insurance companies will try to utilize them. In 2017, a large insurance company (not a start-up!) will launch a package containing wearable sensors and guidance about living a healthy life by measuring data in 2017.

Insurance Data with Wearables - Medical Technologies of 2017

10) The surgical robot by Google and Johnson&Johnson will compete with daVinci

Surgical robots have the potential to change how surgeons will operate in the future. The industry is about to boomby 2020, surgical robotics sales are expected to almost double to $6.4 billion.

One fine example is the da Vinci Surgical System. It features a magnified 3D high-definition vision system and tiny wristed instruments that bend and rotate far greater than the human hand. With the da Vinci Surgical System, surgeons operate through just a few small incisions. The surgeon is 100% in control of the robotic system at all times; and he or she is able to carry out more precise operations than previously thought possible. Recently, Google has announced that it started working with the pharma giant Johnson&Johnson in creating a new surgical robot system. The tech expertise of Google with the healthcare experience of J&J could prove to be a jackpot combination: daVinci will finally have a real competitor. It will definitely give another boost to the surgical robot industry.

daVinci surgical robot

11) Vocal biomarkers: the future of diagnostic medicine

Not long ago, scientists discovered vocal features in every way imperceptible to humans. They also found that the identification of such distinctive characteristics might have a huge impact on setting up a diagnosis. Researchers labelled these features “vocal biomarkers”. These can serve as a diagnostic tool for your physician to indicate signs of illnesses ranging from stress and depression to cardiovascular diseases. An earlier diagnosis could essentially be the difference between life and death. The Beyond Health Research platform is analysing such biomarkers. An Israeli company, Beyond Verbal is launching a platform solely committed to analysing emotions from vocal intonations.

Vocal biomarkers will gain ground in 2017. Instead of focusing only on biomarkers measured in blood or genomic markers analysed by geneticists, vocal biomarkers which are easy to detect, record and analyse will be used more and more for detecting and preventing diseases.

Vocal Biomarkers - Medical Technologies of 2017

12) Pharma will start using massive AI in clinical trials and drug research

Clinical trials take a decade and cost billions of dollars. This medical practice has to be changed. The rapid development of artificial intelligence might aid clinical trials. With the help of AI they might require significantly less time and they might be brought closer to the medical institutions and patients themselves. For example the company, Atomwise uses supercomputers that root out therapies from a database of molecular structures. Last year, Atomwise launched a virtual search for safe, existing medicines in order to redesign them to treat the Ebola virus. They found two drugs predicted by the company’s AI technology which may significantly reduce Ebola infectivity. This analysis, which typically would have taken months or years, was completed in less than one day!

2017 will be the year when the pharma industry realizes they either use AI in drug research and clinical trials or start-ups will make them suffer. When disruption kicks in through a few new technologies, even the giants will have to change their business models…

Atomwise - Medical Technologies of 2017

13) A company will make the 3D printed cast a real choice

Imagine a scenario where you have broken or twisted a limb, and need a cast. Previously, a messy process of fitting plaster to your hurting body part would be followed by frequent doctor visits to refit the cast as the inflammation subsides or muscles atrophy. Instead, the doctor just scans your arm, prints out a water-proof, lightweight cast in seconds using a software approved by traumatologists, and you’re free to go home. At the next visit, your caregiver simply pops it open to examine the injury. Cheaper, faster, more convenient for both patient and doctor.

The Spanish 3D printing startup Exovite experimented with the technology. Scanning a limb is very simple today. Designing a customized cast is also not rocket science. So what’s the main obstacle for applying the above method? The acceptance from traumatologists. That’s a hard one. But in 2017, a start-up will finally make it happen.

3D-Printed Cast - Medical Technologies of 2017

It’s important to mention though that none of these will happen without inpiduals who understand what the technological advances can bring upon as. Those people who discuss the advantages and ethical issues today are the ones who will bring disruption to everyday life tomorrow. Because it’s always more important how we adjust to the changes than what developments will take place next year.

I hope 2017 will be the year when we acknowledge that a cultural revolution is on the way only triggered by new technologies.

http://tamilnewtechnology.blogspot.co.il/2017/05/the-top-technologies-with-biggest.html

Beyond Verbal’s voice-driven Emotions Analytics Technology Positively Impacts Customer Satisfaction in Real-Time Communication

A current trend in the technology space and business media is the conversation surrounding Artificial Intelligence (AI), and the discussion about whether it will soon be replacing real human interaction. However, one aspect that is lacking from the discussion is a dialogue on how AI can dramatically improve business interactions, specifically in terms of client and customer relations. With this in mind, TMForum has developed within its Catalyst Program one such catalyst that focuses on Sentimental Apps; a rapid fire, member-driven, proof-of-concept project in which global enterprises try to create innovative solutions to address industry challenges. The catalyst was comprised of five companies: Bell Canada, Amdocs, Microsoft, Beyond Verbal and CallVU. All were focused on finding a way to increase customer satisfaction, increase revenue, and improve call resolution while reducing customer churn and cost to serve.

Challenge

In order to provide a more personalized and contextual customer engagement, the catalyst demonstrated the value of leveraging cognitive computing technologies and Emotions Analytics in voice & text-based customer support. In order to achieve these objectives, the five companies collaborated to build a customer service representative dashboard that displays detected customer emotion (powered by Beyond Verbal) and customer intent, in order to drive the next best action and offer the customer the best service possible across assisted and unassisted channels.

http://www.beyondverbal.com/

Beyond Verbal contributed to the catalyst with its voice-driven Emotions Analytics, as its technology analyzes vocal intonations to detect speaker’s mood in real-time. As a company, its main task was to increase customer satisfaction and improve call resolution through the enablement of understanding the customer’s emotional state in real-time, while simultaneously empowering emotion-aware next best actions to achieve the best customer interaction outcome.

Beyond Verbal’s ability to extract, decode, and measure human moods in real-time as the call is taking place, introduces a new dimension of emotional understanding called Emotions Analytics. An interdisciplinary team of physics, operations research, decision making and neuropsychology research, scientists conducted more than 20 years of work that included over 3 million voice
samples in more than 40 different languages.

http://www.beyondverbal.com/

Results

The key takeaway from the catalyst was that customer experience was enhanced by the Artificial Intelligence and vocal analytics which were used to inform and positively impact the conversation flow. The convergence of sentiment within the context of voice interactions will be pivotal in the future of customer service, especially for agent guidance and human assisted interactions.

About Beyond Verbal

Since its launch in 2012, Beyond Verbal has been using voice-driven emotions AI to dramatically change the way we can detect emotions and reveal health conditions. The only input needed is the human voice, making this technology non-intrusive, passive and cost effective. Beyond Verbal’s technology has been developed based on ongoing research into the science of emotions that started in 1995. By combining the company’s patented technology with its proprietary machine learning-based algorithms and AI, Beyond Verbal is focusing on enabling devices to understand our emotions and health.


Download proof of concept here